Fairness-Aware Crowdsourcing of IoT Energy Services

We propose a Novel Fairness-Aware framework for Crowdsourcing Energy Services (FACES) to efficiently provision crowdsourced IoT energy services. Typically, efficient resource provisioning might incur an unfair sharing some requests. FACES, however, maximizes the utilization of available services by maximizing fairness across all conduct set preliminary experiments assess effectiveness proposed against traditional fairness-aware allocation algorithms. Results demonstrate that FACES is better than FCFS and similar Max-min fair scheduling. Experiments also show achieved among provisioned requests using compared